CN1131882A - Apparatus for encoding image signal having still object using image warping technique - Google Patents
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Abstract
An apparatus for encoding a image signal having a still object generates a first encoded image signal by encoding a contour signal detected at a first encoding channel, the contour signal provides boundary information for tracing an object boundary in a video frame. The video frame is divided into a plurality of processing blocks with a predetermined identical size. Each of the processing blocks is selectively delivered to an image reconstruction apparatus or a second encoding channel according to a control signal indicating whether or not a part of the object boundary exists in each of the processing blocks. The image reconstruction apparatus generates reconstructed processing blocks based on the processing blocks delivered to the apparatus.
Description
The present invention relates to a kind of device of the low bit-rate image signal that is used to encode, more specifically, relate to a kind of being used for by utilizing image transform (Warping) technology for encoding to have the device of the picture intelligence of static target.
In such as digital to television systems such as video telephone, high definition TV or video conference systems,, need a large amount of numerical datas to limit each picture frame signal because each row in the picture frame signal includes the numerical data that a sequence is called " pixel ".But, because available frequency bandwidth is limited in traditional transfer channel, in order to transmit a large amount of numerical datas by it, to utilize various data compression technique compressions inevitably or reduce data volume, particularly in low bit-rate image signal coded system such as video telephone or video conference system.
For the low rate encoding system, one of this method that is used for coding image signal is that so-called object-oriented decomposition-composite coding technology is (referring to " based on the object-oriented decomposition-composite coding of motion two dimension target " of Michael Hotter, this article publishes the communication in signal Processing:I mage, 2,409-428, nineteen ninety).
According to this object-oriented decomposition-composite coding technology, the input image signal with moving target is divided into a plurality of targets, and the three groups of parameters of motion, profile and pixel data that are used to limit each target are processed by different coding pass.
In this object-oriented decomposition-composite coding technology, when processing is positioned at the pictorial data of " static target " or pixel, mainly adopt a kind of transition coding technology that only is used for reducing the spatial redundancy that is included in pictorial data.One of the most frequently used transition coding technology that is used for Data Compression of Image is based on the DCT (discrete cosine transform) of block transform coding, and it is with a piece of digital image data, and for example the piece of one 8 * 8 pixel is converted to one group of transform coefficient data.This method is introduced in " scene adaptive coding device " (IEEE Transactios on Communications, COM-32, No.3, pp.225-232, in March, 1984) of for example Chen and Pratt to some extent.
In the DCT based on block transform coding, the mirror image with target in average pixel value or the piece is filled out in the nontarget area in, and conversion is performed then.
Though having to utilize, this method is used for conventional method (such as uniting according to resembling expert group: JPEG, motion picture expert group: MPEG, H.261 etc. the two-dimensional dct piece), but it still includes unnecessary or undesirable data in the nontarget area of image, therefore, see from the viewpoint of data compression and be still poor efficiency.
Therefore, main purpose of the present invention promptly is to provide a kind of device of the picture intelligence that is used to utilize the image transform technology to encode effectively and has static target, to improve the efficient of data compression.
According to the present invention, a kind of device of picture intelligence with frame of video of static target that is used for encoding is provided, wherein this picture intelligence comprises the nonzero value of distributing to the pixel in the static target and distributes to the null value of the pixel outside this static target, this device comprises: a profile detector, and the border that is used for detecting the target that is included in picture frame is to generate a contour signal that is provided for explaining the boundary information of this object boundary; One contour encoding device, this contour signal that is used to encode is to generate one first coding image signal; A generator is used for this frame of video is divided into a plurality of processing blocks with predetermined identical size; One controller, be used for generating an expression whether the part of the object boundary of this frame of video be present in control signal in each processing block; One switching circuit is used for providing one first and one second group of processing block according to described control signal; One image reconstruction device is used for generating a processing block of rebuilding based on this first group of processing block; One coding pass, processing block or second group of processing block of this reconstruction that is used to encode generate one second coding image signal thus; And a formating circuit, be used to format this first and second coding image signal.
Above-mentioned and other purpose of the present invention and feature will be from below in conjunction with becoming clear the accompanying drawing description of a preferred embodiment, in the accompanying drawing:
Fig. 1 is the block diagram of explanation according to image signal coding device of the present invention;
Fig. 2 shows an exemplary video frame with static target;
Fig. 3 A shows an exemplary process piece that comprises object boundary;
Fig. 3 B shows the processing block that is used to explain the border mapping that border mapping (mapped) is handled;
Fig. 4 provides first group of displacement vector corresponding to the pixel on a block boundary;
Fig. 5 represents the processing block by the reconstruction of image transform scheme generation of the present invention.
Referring to Fig. 1, it shows the block diagram of inventive apparatus of the digital image signal of the frame of video that is used for encoding.This code device 10 comprises first and second coding pass 100 and 500, and the processing block that is used for generating reconstruction is with the image reconstruction device 400 of the part on the border of encoded video frame one target effectively, wherein, this first coding pass 100 is used for the contour signal of this target, and this second coding pass 500 is used for coded digital pictorial data on the basis of block-by-block.
From known eikongen (not shown), for example the digital image signal of hard disk or CD generation is transfused to a frame memory 50 to store it.This digital image signal has a static target and comprises the nonzero value of distributing to pixel in this target and the null value of distributing to the outer pixel of this target.Be taken to profile detector 110 and a generator 200 then from the picture intelligence of frame memory 50 at this first coding pass 100.
This first coding pass 100 that comprises profile detector 110 and contour encoding device 120 is used for utilizing known profile to detect and coding techniques detects and coding from the contour signal of this target of frame of video of frame memory 50 to generate the contour signal of a coding.More specifically, as shown in Figure 2, this profile detects device 110 then detects the profile 16 of the target 12 in the expression frame of video 11 by the known edge detecting technology of having utilized known edge detection operator (as the Sobel operator) contour signal.As known in the art, the contour signal of this target can draw from marginal point, and marginal point is defined as the pixel location of the remarkable physical change of generation of picture intelligence.This variation can be by detecting from M * M with the detected pixel of a desire (for example 3 * 3) value of pixel or the pixel value that gray scale obtains and a predetermined threshold comparison, and wherein the detected pixel of this desire is positioned at the center of this M * M pixel.Be sent to contour encoding device 120 then with to its coding at profile detector 110 detected contour signals.
At contour encoding device 120, for example the binary arithmetic sign indicating number of a JPEG (uniting according to resembling expert group) is encoded and the contour signal of this coding is sent to a formating circuit 600 by utilizing from the contour signal of profile detector 110.
Simultaneously, piece generator 200 will be from the frame of video division of signal of frame memory 50 a plurality of N of having * N pixel etc. the processing block (N be greater than 3 integer) of size, and these processing blocks are offered a switching circuit 300 block by block.At switching circuit 300,, selectively given the image reconstruction device 400 or second coding pass 500 from each processing block of piece generator 200 according to control signal CS from a system controller (not shown).This system controller generates control signal CS according to the profile information of the target in this frame of video, and whether this control signal CS represents to have the part of this object boundary in the frame of video to be present in each processing block.If the part of this object boundary is present in the processing block, promptly this control signal CS is a logic high, and then this processing block is sent to image reconstruction device 400 to generate a processing block of rebuilding; Otherwise this piece is sent to second coding pass 500.
According to the present invention, comprise that this image reconstruction device 400 of a border mapping part 410, a displacement interpolation part 420 and an image transform part 430 will be converted to the processing block of reconstruction from each processing block of switching device 300 to improve the efficiency of data compression at second coding pass 500.
As shown in Figure 1, the contour signal that comprises profile information from profile detector 110 is sent to border mapping part 410.This border mapping part 410 will from the pixel value that is positioned at one group of object boundary pixel on this object boundary distribute to block boundary pixel on the block boundary of a part that does not constitute this target and the non-target area that this group object boundary pixel is nearest and calculate these non-target block edge pixel with the object boundary pixel of non-target block edge pixel corresponding to these between displacement, the block boundary pixel for each processing block provides visual processing block and one first group of displacement vector of shining upon thus.
Referring to Fig. 3 A and 3B, they show schematic diagram and an exemplary image mapping processing block of the amplification of the processing block 18 among a Fig. 2.For example having, the processing block 18 of 4 * 4 pixel P1 to P16 comprises a target area R1 and a non-target area R2, wherein, the pixel value of each pixel in this processing block 18 of the numeral in each bracket, this target area has object boundary pixel P12, P13, P16 and P7.For first group of displacement vector of the block boundary pixel P1 to P12 that determines this processing block, object boundary pixel value A, B, E and I at first are assigned to the non-target block edge pixel P1 to P6 among the R2, shown in Fig. 3 B.After the non-target block edge pixel of this object boundary pixel value being distributed among the R2, the displacement between definite respectively this non-target block edge pixel and its respective objects edge pixel.
In a preferred embodiment of the present invention, be by distribute of having a higher-priority in this each object boundary pixel value to finish to it for each non-target block edge pixel P1 to P6 determines a single value.This preference have with R2 in the object boundary pixel of a non-target block edge pixel minimum range.If more than one object boundary pixel has identical minimum range, the order that priority will increase progressively by the x component of displacement between them gives a target pixel.For example, P6 is identical with the P16 distance with two object boundary pixel P7, displacement from P7 to P6 and from P16 to P6 is respectively (0,1) and (1,0), in this case, promptly identical with the distance of the non-target block edge pixel of P16 to a P6 from two object boundary pixel P7, but the displacement from these two pixel P7 and P16 to pixel P6 is not simultaneously, and the pixel with the less displacement of x component is that P7 has higher priority.
Particularly, for the non-target block edge pixel P1 to P6 of a group shown in Fig. 3 A, the pixel value A of P12 is assigned to P1, the pixel value B of P13 is assigned to P2, P3 and P4, and the pixel value E of P16 gives P5, the pixel value I of P7 gives P6, and the processing block that is shown in this image mapping of Fig. 3 B is generated.The displacement vector of non-target block edge pixel P1 to P6 is (0,1), (0,1), and (1,1), (2,1), (1,1) and (0,1), and the displacement vector of the target block edge pixel P7 to P12 among the R1 all is (0,0).In Fig. 4, show first group of displacement vector M1 to M12, wherein the numeral in each bracket is from the x and the y component of their corresponding object boundary pixel measuring and calculating.
Return Fig. 1, this first group of displacement vector M1 to M12 and the visual processing block that shines upon that generate from border mapping part 410 are offered displacement interpolation part 420 and image transform part 430 respectively.In displacement interpolation part 420, by for example this first group of displacement vector of interpolation linearly, the second group of displacement vector of non-block boundary pixel that is used for not forming the block boundary part of this processing block is generated.
In a preferred embodiment of the invention, be used for the displacement vector of non-block boundary pixel by following method interpolation.At first, formula Eq.1 given below be used to calculate the displacement d that is used for non-block boundary pixel (x, y):
Wherein, x and y are respectively the level and the vertical component of a non-block boundary pixel, and Di represents the distance between this non-block boundary pixel and each the block boundary pixel, and Mi is used to represent first group of displacement vector of each block boundary pixel.Secondly, if x or y are not integers, then described non-integer component is rounded to the most close integer.In this way, the displacement that is shown in all the non-edge pixel P13 to P16 among Fig. 3 A is obtained and is delivered to image transform part 430 to generate the processing block of reconstruct as second group of displacement vector.
This image transform part 430 is based on upgrading the pixel value of P13, P15 among the target area R1 and P16 and distribute a pixel value among the R1 to give P14 among the R2 from this second group of displacement vector of displacement interpolation part 420 and from the pixel value of the processing block of image mapping, and the processing block that generates this reconstruction is delivered to second coding pass 500.As shown in Figure 5, be (0,0) if be used for second group of displacement vector of non-block boundary pixel P13 to P16, (0,1), (1,1) and (1,0), then non-block boundary pixel P13 to P16 will be composed with B, E, F and D respectively.
This second coding pass 500 comprises a transform coder 510, a quantizer 520 and an entropy coder 530, is used to utilize a traditional conversion and statistical coding technology for encoding to be contained in from each processing block of rebuilding of the image transform part 430 of image reconstruction device 400 or from the pictorial data of the processing block of a non-reconstruction of switching circuit 300.That is transform coder 510 is utilized for example discrete cosine transform (DCT) will be converted to one group of conversion coefficient in the frequency domain from the pictorial data of the processing block in each spatial domain of image transform part 430 or switching circuit 300 and should organize conversion coefficient and is offered quantizer 520.At quantizer 520, utilize known quantization method should organize quantization of transform coefficients; This group quantized transform coefficients is sent to entropy coder 530 and is used for further processing then.
This entropy coder 530 utilizes for example combination of scanning width and Variable Length Code, for processing block each non-reconstruction or that rebuild encodes this group quantized transform coefficients of quantizer 520, to generate a picture intelligence of encoding.This picture intelligence by entropy coder 530 codings is sent to formating circuit 600 then.
600 formats of this formating circuit are from the contour signal of the coding of the contour encoding device 120 in first coding pass 100 and from the picture intelligence of the coding of the entropy coder 530 in second coding pass 500, provide thus a formative digital image signal to a transmitter (not shown) to send this picture intelligence.
As mentioned above, the present invention can reduce the high fdrequency component that occurs between pixel in a static target and the pixel outside this target significantly in the encoding process of utilizing creationary image transform technology, improve binary encoding efficient thus.
Though the present invention has been described in conjunction with the specific embodiments,, obviously can broken away from the spirit and scope of the present invention that limit by following claim and make various variations and correction for those skilled in the art.
Claims (2)
1, a kind of device of picture intelligence with frame of video of static target that is used for encoding, wherein this picture intelligence comprises the nonzero value of distributing to the pixel in the static target and distributes to the null value of the pixel outside this static target, this device comprises:
One border that is used for detecting the target that is included in picture frame is with the device of the contour signal that generates a boundary information that is provided for explaining this object boundary;
One is used to encode this contour signal to generate the device of one first coding image signal;
One is used for this frame of video is divided into a plurality of devices with processing block of predetermined identical size;
One be used for generating an expression whether the part of the object boundary of this frame of video be present in the device of the control signal in each processing block;
One is used for providing according to described control signal the device of one first and one second group of processing block;
One is used for generating based on this first group of processing block the device of a processing block of rebuilding;
One processing block or second group of processing block that is used to encode this reconstruction generates the device of one second coding image signal thus; And
A device that is used to format this first and second coding image signal.
2, device as claimed in claim 1, the processing block generating means of wherein said reconstruction comprises:
Be used for to distribute to they nearest being positioned at from the pixel value that is positioned at one group of object boundary pixel on this object boundary and do not constitute non-target block edge pixel on the block boundary of a part of this target based on the profile information of this frame of video, and calculate these non-target block edge pixel and and their corresponding object boundary pixels between displacement, thereby generate the device of the processing block of first a group of displacement vector and an image mapping;
Be used for generating the device of second group of displacement vector of non-block boundary pixel of the part of the block boundary that is used for not constituting this each first group of processing block by this first group of displacement vector of interpolation linearly; And
Be used for generating the device of the processing block of rebuilding based on the processing block data of this first group of displacement vector and image mapping.
Applications Claiming Priority (2)
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|---|---|---|---|
| KR5863/95 | 1995-03-20 | ||
| KR1019950005863A KR100209409B1 (en) | 1995-03-20 | 1995-03-20 | Object-based encoding method and apparatus using an object warping |
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| Publication Number | Publication Date |
|---|---|
| CN1131882A true CN1131882A (en) | 1996-09-25 |
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| CN95117352A Pending CN1131882A (en) | 1995-03-20 | 1995-09-29 | Apparatus for encoding image signal having still object using image warping technique |
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| US (1) | US5706366A (en) |
| EP (1) | EP0734168A3 (en) |
| JP (1) | JPH08275157A (en) |
| KR (1) | KR100209409B1 (en) |
| CN (1) | CN1131882A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1306824C (en) * | 2004-07-29 | 2007-03-21 | 联合信源数字音视频技术（北京）有限公司 | Image boundarg pixel extending system and its realizing method |
| CN1324906C (en) * | 2002-07-18 | 2007-07-04 | 特克特朗尼克公司 | Fuzzy measurement in video-frequeney Sequence |
| CN101056410B (en) * | 2006-04-12 | 2011-04-27 | 松下电器产业株式会社 | Video signal processing device |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| ES2153597T3 (en) * | 1995-10-25 | 2001-03-01 | Koninkl Philips Electronics Nv | SYSTEM AND METHOD OF SEGMENTED IMAGE CODING, AND CORRESPONDING DECODING SYSTEM AND METHOD. |
| DE69714530T2 (en) * | 1996-03-28 | 2003-04-24 | Koninklijke Philips Electronics N.V., Eindhoven | METHOD AND DEVICE FOR CODING AND DECODING IMAGES |
| JP4034380B2 (en) * | 1996-10-31 | 2008-01-16 | 株式会社東芝 | Image encoding / decoding method and apparatus |
| US5859604A (en) * | 1997-01-14 | 1999-01-12 | International Business Machines Corporation | Merged VLSI implementation of hardware optimized Q-Coder and software optimized QM-Coder |
| JPH11331612A (en) * | 1998-05-19 | 1999-11-30 | Canon Inc | Picture processor, its method and storage medium |
| US8521546B2 (en) * | 1998-09-25 | 2013-08-27 | Health Hero Network | Dynamic modeling and scoring risk assessment |
| KR100557175B1 (en) * | 1999-07-08 | 2006-03-03 | 삼성전자주식회사 | Apparatus and method for smoothing edge of blocks in a video signal processing system |
| US6763148B1 (en) | 2000-11-13 | 2004-07-13 | Visual Key, Inc. | Image recognition methods |
| JP3947969B2 (en) * | 2002-05-15 | 2007-07-25 | ソニー株式会社 | Image processing apparatus, image processing method, recording medium, and program |
| KR20040046891A (en) * | 2002-11-28 | 2004-06-05 | 엘지전자 주식회사 | Video codec based on object and method for coding and decoding based on object |
| US20070223593A1 (en) * | 2006-03-22 | 2007-09-27 | Creative Labs, Inc. | Determination of data groups suitable for parallel processing |
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| EP0330455A3 (en) * | 1988-02-22 | 1990-07-04 | Kabushiki Kaisha Toshiba | Image encoding apparatus |
| IT1232109B (en) * | 1989-06-21 | 1992-01-23 | Cselt Centro Studi Lab Telecom | PROCEDURE AND DEVICE FOR RECOGNITION OF THE CONTOUR OF MOVING IMAGES |
| JPH0813138B2 (en) * | 1990-11-28 | 1996-02-07 | 松下電器産業株式会社 | Image coding device |
| US5251028A (en) * | 1991-08-08 | 1993-10-05 | Matsushita Electric Corporation Of America | Apparatus for reducing quantization artifacts in an interframe hybrid coding system with motion compensation |
| JP2507204B2 (en) * | 1991-08-30 | 1996-06-12 | 松下電器産業株式会社 | Video signal encoder |
| US5475501A (en) * | 1991-09-30 | 1995-12-12 | Sony Corporation | Picture encoding and/or decoding method and apparatus |
| DE4136636A1 (en) * | 1991-11-07 | 1993-07-01 | Bosch Gmbh Robert | Image signal encoder for data-reduced transmission of moving images - uses block encoding of image zones not qualifying for object-oriented encoding |
| EP0547696B1 (en) * | 1991-12-18 | 1999-04-21 | Laboratoires D'electronique Philips S.A.S. | System for the transmission and/or storage of signals corresponding to textured images |
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1995
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- 1995-09-19 EP EP19950114746 patent/EP0734168A3/en not_active Withdrawn
- 1995-09-22 US US08/532,034 patent/US5706366A/en not_active Expired - Fee Related
- 1995-09-27 JP JP24927495A patent/JPH08275157A/en active Pending
- 1995-09-29 CN CN95117352A patent/CN1131882A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1324906C (en) * | 2002-07-18 | 2007-07-04 | 特克特朗尼克公司 | Fuzzy measurement in video-frequeney Sequence |
| CN1306824C (en) * | 2004-07-29 | 2007-03-21 | 联合信源数字音视频技术（北京）有限公司 | Image boundarg pixel extending system and its realizing method |
| CN101056410B (en) * | 2006-04-12 | 2011-04-27 | 松下电器产业株式会社 | Video signal processing device |
Also Published As
| Publication number | Publication date |
|---|---|
| KR100209409B1 (en) | 1999-07-15 |
| US5706366A (en) | 1998-01-06 |
| KR960036755A (en) | 1996-10-28 |
| EP0734168A2 (en) | 1996-09-25 |
| JPH08275157A (en) | 1996-10-18 |
| EP0734168A3 (en) | 1998-03-25 |
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